Daniel S. Brown

Daniel S. Brown

University of California, Berkeley

H-index: 20

North America-United States

About Daniel S. Brown

Daniel S. Brown, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of ? Reward Learning, ? Safe and Robust AI, ? Robot Learning, ✋ Human-Robot Interaction, ? Swarm Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery

Modeling Kinematic Uncertainty of Tendon-Driven Continuum Robots via Mixture Density Networks

Towards a Gaze-Driven Assistive Neck Exoskeleton via Virtual Reality Data Collection

Player-Centric Procedural Content Generation: Enhancing Runtime Customization by Integrating Real-Time Player Feedback

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models

Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms

Benchmarks and Algorithms for Offline Preference-Based Reward Learning

Daniel S. Brown Information

University

Position

___

Citations(all)

1466

Citations(since 2020)

1319

Cited By

402

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

28

i10Index(since 2020)

25

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Daniel S. Brown Skills & Research Interests

? Reward Learning

? Safe and Robust AI

? Robot Learning

✋ Human-Robot Interaction

? Swarm Intelligence

Top articles of Daniel S. Brown

Title

Journal

Author(s)

Publication Date

Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery

????????International Symposium on Medical Robotics (ISMR)

Zohre Karimi

Shing-Hei Ho

Bao Thach

Alan Kuntz

Daniel S Brown

2024/4/10

Modeling Kinematic Uncertainty of Tendon-Driven Continuum Robots via Mixture Density Networks

???????? International Symposium on Medical Robotics (ISMR)

Jordan Thompson

Brian Y Cho

Daniel S Brown

Alan Kuntz

2024/4/5

Towards a Gaze-Driven Assistive Neck Exoskeleton via Virtual Reality Data Collection

Jordan Thompson

Haohan Zhang

Daniel S Brown

2023/3/2

Player-Centric Procedural Content Generation: Enhancing Runtime Customization by Integrating Real-Time Player Feedback

Nancy N Blackburn

M Gardone

Daniel S Brown

2023/10/6

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types

Proceedings of the AAAI Conference on Artificial Intelligence

Gaurav R Ghosal

Matthew Zurek

Daniel S Brown

Anca D Dragan

2023/6/26

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models

???? ???? ???? International Conference on Robotics and Automation (ICRA)

Yi Liu

Gaurav Datta

Ellen Novoseller

Daniel S Brown

2023/1/11

Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms

????arXiv preprint arXiv:2309.11408

Ricardo Vega

Kevin Zhu

Connor Mattson

Daniel S Brown

Cameron Nowzari

2023/9/20

Benchmarks and Algorithms for Offline Preference-Based Reward Learning

arXiv preprint arXiv:2301.01392

Daniel Shin

Anca D Dragan

Daniel S Brown

2023/1/3

Can Differentiable Decision Trees Learn Interpretable Reward Functions?

???????? arXiv preprint arXiv:2306.13004

Akansha Kalra

Daniel S Brown

2023/6/22

Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms

????✋ Genetic and Evolutionary Computation Conference (GECCO)

Connor Mattson

Daniel S Brown

2023/4/25

SIRL: Similarity-based Implicit Representation Learning

Andreea Bobu

Yi Liu

Rohin Shah

Daniel S Brown

Anca D Dragan

2023/3/13

Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots

Connor Mattson

Jeremy C Clark

Daniel S Brown

2023/12/4

Contextual Reliability: When Different Features Matter in Different Contexts

Gaurav Rohit Ghosal

Amrith Setlur

Daniel S Brown

Anca Dragan

Aditi Raghunathan

2023/7/3

Quantifying Assistive Robustness Via the Natural-Adversarial Frontier

Jerry Zhi-Yang He

Daniel S Brown

Zackory Erickson

Anca Dragan

2023/12/2

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning

arXiv preprint arXiv:2204.06601

Jeremy Tien

Jerry Zhi-Yang He

Zackory Erickson

Anca D Dragan

Daniel S Brown

2022/4/13

Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies

Satvik Sharma

Ellen Novoseller

Vainavi Viswanath

Zaynah Javed

Rishi Parikh

...

2022/8/20

Teaching Robots to Span the Space of Functional Expressive Motion

Arjun Sripathy

Andreea Bobu

Zhongyu Li

Koushil Sreenath

Daniel S Brown

...

2022/10/23

Interpretable Reward Learning via Differentiable Decision Trees

Akansha Kalra

Daniel S Brown

2022

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning

???? ????AAAI Fall Symposium Series

Tu Trinh

Daniel S Brown

2022/11/28

Learning Representations that Enable Generalization in Assistive Tasks

Jerry Zhi-Yang He

Zackory Erickson

Daniel S Brown

Aditi Raghunathan

Anca Dragan

2023/3/6

See List of Professors in Daniel S. Brown University(University of California, Berkeley)

Co-Authors

H-index: 92
Ken Goldberg

Ken Goldberg

University of California, Berkeley

H-index: 55
Anca D Dragan

Anca D Dragan

University of California, Berkeley

H-index: 49
Michael A. Goodrich

Michael A. Goodrich

Brigham Young University

H-index: 23
Marek Petrik

Marek Petrik

University of New Hampshire

H-index: 19
Zackory Erickson

Zackory Erickson

Georgia Institute of Technology

H-index: 18
Ashwin Balakrishna

Ashwin Balakrishna

University of California, Berkeley

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